This role is focused on defining the essential data requirements and architecting the structure for application success. The Data Architect will be responsible for modeling and designing how application data is stored and integrated, ensuring a robust architecture that facilitates seamless data flow and accessibility. This position is critical in establishing the foundational elements of the application, requiring collaboration with various stakeholders to align data strategies with project objectives and operational demands.

As a Data Architect, you will play a key role in shaping the application's data foundation. Your responsibilities will include understanding and defining data needs, creating comprehensive data models, and ensuring efficient data storage and integration strategies are implemented. This involves working closely with development teams and business units to translate requirements into a well-defined and scalable data architecture.

As a Data Architect, you are expected to operate with autonomy and develop into a Subject Matter Expert (SME). Your role involves active participation and valuable contributions in team discussions.

You will be instrumental in proposing effective solutions to work-related challenges. This includes collaborating with cross-functional teams to guarantee that the data architecture aligns seamlessly with overarching business objectives. Maintaining detailed documentation of data models and integration processes is essential for fostering transparency and knowledge sharing within the team.

Furthermore, you will provide guidance and support to junior team members, assisting them in grasping data architecture principles. A key aspect of the role is the continuous evaluation and enhancement of data structures to boost performance and ensure scalability.

A minimum of 3 years of dedicated experience in Collibra Data Governance is a prerequisite for this position. You should possess a strong proficiency in Collibra Data Governance.

Candidates are expected to have a proven track record in designing and implementing data models that effectively support complex application requirements. A solid understanding of various data storage solutions and integration techniques is also vital. The ability to analyze and optimize data workflows to enhance efficiency and reliability is crucial.

Familiarity with data quality management and governance frameworks is advantageous. The role requires strong skills in collaborating with both technical and non-technical stakeholders to translate diverse requirements into effective data architectures. A 15-year full-time education is mandatory. This position is located at our HDC4 - SEZ facility.